ArticleFrontiers in endocrinology2020
Simple Skeletal Muscle Mass Estimation Formulas: What We Can Learn From Them.
Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 42 citations in OpenAlex.
- Smartphone prediction of skeletal muscle mass: model development and validation in adults.The American journal of clinical nutrition · 2023Trial
- Novel effects of the gastrointestinal hormone secretin on cardiac metabolism and renal function.American journal of physiology. Endocrinology and metabolism · 2022Trial
- Mixed circuit training as a non-pharmacological strategy to improve platelet function and oxidative balance in type 2 diabetes: role of purinergic signaling.Purinergic signalling · 2026Article
- Grip strength and related modifiable and non-modifiable factors among nurses: a comparative analysis of pre- and post-pandemic data.BMC musculoskeletal disorders · 2025Article
- Mediation of fasting blood glucose between relative muscle strength and hypertension: insights from two cohorts.Diabetology & metabolic syndrome · 2025Article
- FRAX in conjunction with T-score predicts cardiovascular risk in older adults: a retrospective cohort bone density study from Thailand.Archives of osteoporosis · 2025Article
- Novel Algorithm to Estimate Fat-Free Muscle Volumes in Women Using the Urinary Deuterated-Creatine Dilution Method.Journal of cachexia, sarcopenia and muscle · 2025Article
- Prediction of total and regional body composition from 3D body shape.NPJ digital medicine · 2024Article
- Review
- Role ofJapanese journal of radiology · 2023Article
- Epidemiological, mechanistic, and practical bases for assessment of cardiorespiratory fitness and muscle status in adults in healthcare settings.European journal of applied physiology · 2023Review
- Associations between the muscle quality index and adult lung functions from NHANES 2011-2012.Frontiers in public health · 2023Article
- Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades.Journal of personalized medicine · 2022Review
- Phenotypic differences between people varying in muscularity.Journal of cachexia, sarcopenia and muscle · 2022Article
- Comparing SARC-CalF With SARC-F for Screening Sarcopenia in Adults With Type 2 Diabetes Mellitus.Frontiers in nutrition · 2022Article
- Article
- DXA-Derived Indices in the Characterisation of Sarcopenia.Nutrients · 2021Observational
- Effects of time-restricted feeding in weight loss, metabolic syndrome and cardiovascular risk in obese women.Journal of translational medicine · 2021Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
One century ago Harris and Benedict published a short report critically examining the relations between body size, body shape, age, and basal metabolic rate. At the time, basal metabolic rate was a vital measurement in diagnosing diseases such as hypothyroidism. Their conclusions and basal metabolic rate prediction formulas still resonate today. Using the Harris-Benedict approach as a template, we systematically examined the relations between body size, body shape, age, and skeletal muscle mass (SM), the main anatomic feature of sarcopenia. The sample consisted of 12,330 non-Hispanic (NH) white and NH black participants in the US National Health and Nutrition Survey who had complete weight, height, waist circumference, age, and dual-energy X-ray (DXA) absorptiometry data. A conversion formula was used to derive SM from DXA-measured appendicular lean soft tissue mass. Weight, height, waist circumference, and age alone and in combination were significantly correlated with SM (all,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.